STRASMORE/EXPLORE 2,830 QUERIES

spread_by_et_hour

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-30, from es-futures-trading-hours.

as of ranking 16×3read in context →
spread_by_et_hour — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_houravg_spread_centsquote_count
04:005.91808
05:005.97629
06:004.39540
07:006.057699
08:004593
09:003.842618
10:001.987298
11:001.487668
12:001.783327
13:001.973439
14:008.4118702
15:003.1925416
16:003.536463
17:00103
18:007.37308
19:005.08378
Rows × columns
16 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for spread_by_et_hour, derived from the stored result.
ColumnTypeRangeNotes
et_hour text 16 distinct values (04:00, 05:00, 06:00…)
avg_spread_cents number 1.48 to 10
quote_count number 3 to 25,416 count

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

SELECT
    formatDateTime(toTimeZone(sip_timestamp, 'America/New_York'), '%H:00') AS et_hour,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2)       AS avg_spread_cents,
    count()                                                                AS quote_count
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'SPY'
  AND sip_timestamp >= toDateTime('2026-09-16 08:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-09-17 01:00:00', 'UTC')
  AND toMinute(toTimeZone(sip_timestamp, 'America/New_York')) = 0
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY et_hour
ORDER BY et_hour
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